{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from influxdb import InfluxDBClient\n",
    "import seaborn as sns\n",
    "import warnings\n",
    "from matplotlib import pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from statsmodels.tsa.arima_model import ARMA\n",
    "import warnings\n",
    "from itertools import product\n",
    "from datetime import datetime, timedelta\n",
    "import calendar\n",
    "\n",
    "warnings.filterwarnings('ignore')\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "sqlday = \"select * from KlineDay where symbol='HSI' and  time > '2010-01-01 00:00:00'\"\n",
    "client = InfluxDBClient('192.168.3.108',8086)\n",
    "rsday = client.query(sqlday, database='KlineIndex')\n",
    "df = pd.DataFrame(rsday.get_points())\n",
    "\n",
    "df.time = df.time.apply(lambda x: x[0:10])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time</th>\n",
       "      <th>close</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2889</th>\n",
       "      <td>2021-09-24</td>\n",
       "      <td>24192.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2890</th>\n",
       "      <td>2021-09-27</td>\n",
       "      <td>24208.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2891</th>\n",
       "      <td>2021-09-28</td>\n",
       "      <td>24500.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2892</th>\n",
       "      <td>2021-09-29</td>\n",
       "      <td>24663.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2893</th>\n",
       "      <td>2021-09-30</td>\n",
       "      <td>24523.78</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            time     close\n",
       "2889  2021-09-24  24192.16\n",
       "2890  2021-09-27  24208.78\n",
       "2891  2021-09-28  24500.39\n",
       "2892  2021-09-29  24663.50\n",
       "2893  2021-09-30  24523.78"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "usecols=['time','close']\n",
    "df_train = df[usecols].copy()\n",
    "df_train.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>close</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>time</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-09-24</th>\n",
       "      <td>24192.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-09-27</th>\n",
       "      <td>24208.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-09-28</th>\n",
       "      <td>24500.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-09-29</th>\n",
       "      <td>24663.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-09-30</th>\n",
       "      <td>24523.78</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               close\n",
       "time                \n",
       "2021-09-24  24192.16\n",
       "2021-09-27  24208.78\n",
       "2021-09-28  24500.39\n",
       "2021-09-29  24663.50\n",
       "2021-09-30  24523.78"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_train.time = pd.to_datetime(df_train.time)\n",
    "df_train= df_train.set_index('time')\n",
    "df_train.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>close</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>time</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-05-31</th>\n",
       "      <td>28537.134500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-06-30</th>\n",
       "      <td>28850.197143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-07-31</th>\n",
       "      <td>27256.134762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-31</th>\n",
       "      <td>25928.246364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-09-30</th>\n",
       "      <td>25220.901905</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   close\n",
       "time                    \n",
       "2021-05-31  28537.134500\n",
       "2021-06-30  28850.197143\n",
       "2021-07-31  27256.134762\n",
       "2021-08-31  25928.246364\n",
       "2021-09-30  25220.901905"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_month = df_train.resample('M').mean()\n",
    "df_Q = df_train.resample('Q').mean()\n",
    "df_A = df_train.resample('A').mean()\n",
    "df_month.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_Q = df_train.resample('Q').mean()\n",
    "df_A = df_train.resample('A').mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x2a7a2f52700>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=[15, 7])\n",
    "plt.subplot(221)\n",
    "plt.plot(df_train.close, '-', label='按天')\n",
    "plt.legend()\n",
    "plt.subplot(222)\n",
    "plt.plot(df_month.close, '-', label='按月')\n",
    "plt.legend()\n",
    "plt.subplot(223)\n",
    "plt.plot(df_Q.close, '-', label='按季度')\n",
    "plt.legend()\n",
    "plt.subplot(224)\n",
    "plt.plot(df_A.close, '-', label='按年')\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                              ARMA Model Results                              \n",
      "==============================================================================\n",
      "Dep. Variable:                  close   No. Observations:                  141\n",
      "Model:                     ARMA(2, 0)   Log Likelihood               -1168.809\n",
      "Method:                       css-mle   S.D. of innovations            955.294\n",
      "Date:                Thu, 30 Sep 2021   AIC                           2345.618\n",
      "Time:                        17:18:45   BIC                           2357.413\n",
      "Sample:                    01-31-2010   HQIC                          2350.411\n",
      "                         - 09-30-2021                                         \n",
      "===============================================================================\n",
      "                  coef    std err          z      P>|z|      [0.025      0.975]\n",
      "-------------------------------------------------------------------------------\n",
      "const        2.406e+04   1190.994     20.198      0.000    2.17e+04    2.64e+04\n",
      "ar.L1.close     1.1498      0.082     13.995      0.000       0.989       1.311\n",
      "ar.L2.close    -0.2124      0.083     -2.572      0.010      -0.374      -0.051\n",
      "                                    Roots                                    \n",
      "=============================================================================\n",
      "                  Real          Imaginary           Modulus         Frequency\n",
      "-----------------------------------------------------------------------------\n",
      "AR.1            1.0887           +0.0000j            1.0887            0.0000\n",
      "AR.2            4.3234           +0.0000j            4.3234            0.0000\n",
      "-----------------------------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "ps=range(0, 3)\n",
    "qs = range(0,3)\n",
    "\n",
    "parameters = product(ps, qs)\n",
    "paramters_list = list(parameters)\n",
    "\n",
    "results=[]\n",
    "best_aic = float('inf')\n",
    "\n",
    "for param in paramters_list:\n",
    "    try:\n",
    "        model = ARMA(df_month.close, order=(param[0], param[1])).fit()\n",
    "    except ValueError:\n",
    "        continue\n",
    "    \n",
    "    aic = model.aic\n",
    "    if aic < best_aic:\n",
    "        best_model = model\n",
    "        best_aic = aic\n",
    "        best_param = param\n",
    "    results.append([param, model.aic])\n",
    "print(best_model.summary())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [],
   "source": [
    "# selected = sm.tsa.stattools.arma_order_select_ic(df_month.close, max_ar=6, max_ma=4, ic=\"aic\")\n",
    "\n",
    "from statsmodels.tsa.stattools import arma_order_select_ic\n",
    "selected = arma_order_select_ic(df_month.close, max_ar=6, max_ma=4, ic=\"aic\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'aic':              0            1            2            3            4\n",
       " 0  2677.109511  2530.581356  2673.322815  2545.793086  2386.059622\n",
       " 1  2350.069665  2346.226892  2347.695780  2348.726533  2349.542915\n",
       " 2  2345.618183  2347.430047  2349.418181  2360.393242  2360.301430\n",
       " 3  2347.435239  2349.425192  2348.993789  2359.261120  2361.190761\n",
       " 4  2349.377093  2350.318710  2352.365406  2351.115286  2352.898293\n",
       " 5  2350.238067  2351.821369  2349.351861  2348.673225  2350.535172\n",
       " 6  2352.113549  2353.779142  2355.428917  2350.519142  2360.246472,\n",
       " 'aic_min_order': (2, 0)}"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "selected"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2, 0)"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "best_param"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2021-09-30 00:00:00\n"
     ]
    }
   ],
   "source": [
    "df_month2 = df_month[['close']]\n",
    "future_month = 3\n",
    "last_month = pd.to_datetime(df_month2.index[len(df_month2) - 1])\n",
    "print(last_month)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "31\n",
      "30\n",
      "31\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[Timestamp('2021-10-31 00:00:00', freq='M'),\n",
       " Timestamp('2021-11-30 00:00:00', freq='M'),\n",
       " Timestamp('2021-12-31 00:00:00', freq='M')]"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "date_list=[]\n",
    "for i in range(future_month):\n",
    "    year = last_month.year\n",
    "    month = last_month.month\n",
    "    if month == 12:\n",
    "        month = 1\n",
    "        year = year+1\n",
    "    else:\n",
    "        month = month + 1\n",
    "    \n",
    "    next_month_days = calendar.monthrange(year, month)[1]\n",
    "    print(next_month_days)\n",
    "    last_month = last_month + timedelta(days=next_month_days)\n",
    "    date_list.append(last_month)\n",
    "date_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Timestamp('2022-01-31 00:00:00', freq='M'),\n",
       " Timestamp('2022-02-28 00:00:00', freq='M'),\n",
       " Timestamp('2022-03-31 00:00:00', freq='M')]"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "date_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   close       forcast\n",
      "2010-01-31  21408.796000  24055.209410\n",
      "2010-02-28  20244.108889  21545.540873\n",
      "2010-03-31  21089.353043  20235.435287\n",
      "2010-04-30  21623.799474  21454.733525\n",
      "2010-05-31  19945.355500  21889.668508\n",
      "...                  ...           ...\n",
      "2021-08-31  25928.246364  26716.941581\n",
      "2021-09-30  25220.901905  25528.793016\n",
      "2021-10-31           NaN  24997.597270\n",
      "2021-11-30           NaN  24891.116368\n",
      "2021-12-31           NaN  24816.125529\n",
      "\n",
      "[144 rows x 2 columns]\n"
     ]
    }
   ],
   "source": [
    "\n",
    "# 添加未来要预测的3个月\n",
    "future = pd.DataFrame(index=date_list, columns=df_month.columns)\n",
    "df_month2 = pd.concat([df_month2, future])\n",
    "df_month2['forcast'] = best_model.predict(start=0, end=len(df_month2))\n",
    "\n",
    "print(df_month2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   close       forcast\n",
      "2010-01-31  21408.796000           NaN\n",
      "2010-02-28  20244.108889  21545.540873\n",
      "2010-03-31  21089.353043  20235.435287\n",
      "2010-04-30  21623.799474  21454.733525\n",
      "2010-05-31  19945.355500  21889.668508\n",
      "...                  ...           ...\n",
      "2021-08-31  25928.246364  26716.941581\n",
      "2021-09-30  25220.901905  25528.793016\n",
      "2022-01-31           NaN  24752.522857\n",
      "2022-02-28           NaN           NaN\n",
      "2022-03-31           NaN           NaN\n",
      "\n",
      "[144 rows x 2 columns]\n"
     ]
    }
   ],
   "source": [
    "df_month2['forcast'][0] = np.NaN\n",
    "print(df_month2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, '指数')"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2160x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(30, 7))\n",
    "df_month2.close.plot(label='实际指数')\n",
    "df_month2.forcast.plot(color='r', ls='--', label='预测指数')\n",
    "plt.legend()\n",
    "plt.title(\"HSI指数（月）\")\n",
    "plt.xlabel('时间')\n",
    "plt.ylabel(\"指数\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>close</th>\n",
       "      <th>forcast</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-03-31</th>\n",
       "      <td>28836.266087</td>\n",
       "      <td>29603.771411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-04-30</th>\n",
       "      <td>28875.071579</td>\n",
       "      <td>28346.383591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-05-31</th>\n",
       "      <td>28537.134500</td>\n",
       "      <td>28581.354319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-06-30</th>\n",
       "      <td>28850.197143</td>\n",
       "      <td>28184.550169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-07-31</th>\n",
       "      <td>27256.134762</td>\n",
       "      <td>28616.303941</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-31</th>\n",
       "      <td>25928.246364</td>\n",
       "      <td>26716.941581</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-09-30</th>\n",
       "      <td>25220.901905</td>\n",
       "      <td>25528.793016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-10-31</th>\n",
       "      <td>NaN</td>\n",
       "      <td>24997.597270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-11-30</th>\n",
       "      <td>NaN</td>\n",
       "      <td>24891.116368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-31</th>\n",
       "      <td>NaN</td>\n",
       "      <td>24816.125529</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   close       forcast\n",
       "2021-03-31  28836.266087  29603.771411\n",
       "2021-04-30  28875.071579  28346.383591\n",
       "2021-05-31  28537.134500  28581.354319\n",
       "2021-06-30  28850.197143  28184.550169\n",
       "2021-07-31  27256.134762  28616.303941\n",
       "2021-08-31  25928.246364  26716.941581\n",
       "2021-09-30  25220.901905  25528.793016\n",
       "2021-10-31           NaN  24997.597270\n",
       "2021-11-30           NaN  24891.116368\n",
       "2021-12-31           NaN  24816.125529"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_month2.tail(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2, 30)"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "calendar.monthrange(2021, 9)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(0, 0)\n",
      "(0, 1)\n",
      "(0, 2)\n",
      "(1, 0)\n",
      "(1, 1)\n",
      "(1, 2)\n",
      "(2, 0)\n",
      "(2, 1)\n",
      "(2, 2)\n"
     ]
    }
   ],
   "source": [
    "ps=range(0, 3)\n",
    "qs = range(0,3)\n",
    "\n",
    "parameters = product(ps, qs)\n",
    "for item in parameters:\n",
    "    print(item)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "range(0, 3)"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  }
 ],
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